Job Description

Join our innovative team

and take a lead role in designing and developing high-performance, large-scale services. If you're passionate about Golang, clean architecture, and building robust, observable systems, this opportunity is for you! You'll be instrumental in shaping our technical direction, mentoring engineers, and delivering impact through your deep technical expertise.

Key Responsibilities and Impact

As a Senior Software Developer, you will:

Lead Project Delivery:

Successfully and independently

lead the end-to-end delivery

of large-size projects, including scoping, planning, architecture design, hands-on development, rigorous testing, smooth rollout, and ongoing maintenance.

Golang Development & Best Practices:

Design, develop, and deploy

scalable, high-performance APIs and/or worker services primarily using Golang

. Champion Go concurrency patterns, effective error handling, and building reusable, robust Go components.

Technical Design & Architecture:

Create

high-quality, loosely coupled, reliable, and extensible technical designs

for distributed systems. Actively evaluate and articulate the

trade-offs

between different designs and apply the solution best suited to the situation/requirements.

Code Quality & Mentorship:

Write

clean, concise, modular, and well-tested code

. Conduct thorough

code reviews

for junior engineers, providing

constant and constructive feedback

to elevate the team's overall coding standard.

System Health & Observability:

Constantly improve the health and quality of the services/code you work on by defining and implementing

best practices

for monitoring, logging, and alerting. Actively utilize

observability tools

(e.g., Datadog, Prometheus, New Relic) to proactively ensure system reliability and performance.

Operational Excellence:

Participate in the team's

on-call rotation

and take a leadership role in the troubleshooting, root cause analysis, and resolution process for critical production issues related to owned services.

Collaboration & Documentation:

Lead

cross-team collaborations

for your projects, ensuring alignment and clear communication. Proactively contribute to building and maintaining high-quality

documentation

for the team's services and architectural decisions.

Team Growth & Coaching:

Actively support hiring and on-boarding activities.

Coach and mentor

junior and mid-level developers, contributing to knowledge sharing and developing their technical and professional skills.

Qualifications and Deep Experience

Required Expertise (Must Haves):

Experience:

4-7 years

of hands-on experience in designing, developing, testing, and deploying mid-to-large-scale applications.

Golang Focus:

2-3 years of recent and active hands-on experience in Golang

writing and deploying

scalable APIs and/or asynchronous workers

. Demonstrated robust understanding of Golang concepts, concurrency models, and best practices.

Distributed Systems:

Strong experience in designing and implementing

loosely coupled, reliable, and extensible distributed services

.

Data & Messaging:

+

Strong data modeling experience

in Relational Databases (e.g., MySQL, PostgreSQL).
+ Solid experience with

message broker services

(e.g.,

Kafka, SQS

) for building event-driven and asynchronous systems.
+ Experience with high-throughput

in-memory data stores

like

Redis

.

Core Engineering Principles:

Practical working knowledge of key software engineering concepts including:

SOLID

principles,

DRY

(Don't Repeat Yourself),

KISS

(Keep It Simple, Stupid),

Clean Code

, Modular coding, and building easily

Testable Code

with a focus on comprehensive

unit testing

.

Security & Networking Basics:

Foundational knowledge of

authentication and authorization

mechanisms,

basic application security

concepts, and implementing

rate limiting

.

Soft Skills:

Strong cross-team collaboration and communication skills

. Self-driven with a passion for learning new things quickly, solving challenging problems, and the drive to get better.

Nice to Have:

Data Warehousing:

Experience working with large-scale data warehousing solutions like

BigQuery

.

Data Serialization:

Understanding of data serialization formats such as

Protocol Buffers (Protobuf)

or

Avro

.

NoSQL & Cloud:

Experience with

NoSQL databases

(e.g., MongoDB, DynamoDB) and familiarity with deploying and operating services on a major

public cloud

provider (AWS, GCP, Azure).

Education:

A Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience/education.
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